Targeted Analysis of High-Risk States Using an Oriented Variational Autoencoder

no code implementations • 20 Mar 2023 • Chenguang Wang, Ensieh Sharifnia, Simon H. Tindemans, Peter Palensky

Variational autoencoder (VAE) neural networks can be trained to generate power system states that capture both marginal distribution and multivariate dependencies of historical data.

Vocal Bursts Intensity Prediction

Generating Multivariate Load States Using a Conditional Variational Autoencoder

1 code implementation • 21 Oct 2021 • Chenguang Wang, Ensieh Sharifnia, Zhi Gao, Simon H. Tindemans, Peter Palensky

In this paper, a multivariate load state generating model on the basis of a conditional variational autoencoder (CVAE) neural network is proposed.